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Python Real-World Projects

You're reading from   Python Real-World Projects Craft your Python portfolio with deployable applications

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803246765
Length 478 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (20) Chapters Close

Preface 1. Chapter 1: Project Zero: A Template for Other Projects 2. Chapter 2: Overview of the Projects FREE CHAPTER 3. Chapter 3: Project 1.1: Data Acquisition Base Application 4. Chapter 4: Data Acquisition Features: Web APIs and Scraping 5. Chapter 5: Data Acquisition Features: SQL Database 6. Chapter 6: Project 2.1: Data Inspection Notebook 7. Chapter 7: Data Inspection Features 8. Chapter 8: Project 2.5: Schema and Metadata 9. Chapter 9: Project 3.1: Data Cleaning Base Application 10. Chapter 10: Data Cleaning Features 11. Chapter 11: Project 3.7: Interim Data Persistence 12. Chapter 12: Project 3.8: Integrated Data Acquisition Web Service 13. Chapter 13: Project 4.1: Visual Analysis Techniques 14. Chapter 14: Project 4.2: Creating Reports 15. Chapter 15: Project 5.1: Modeling Base Application 16. Chapter 16: Project 5.2: Simple Multivariate Statistics 17. Chapter 17: Next Steps 18. Other Books You Might Enjoy 19. Index

17.2 The concept of “decision support”

The core concept behind all data processing, including analytics and modeling, is to help some person make a decision. Ideally, a good decision will be based on sound data.

In many cases, decisions are made by software. Sometimes the decisions are simple rules that identify bad data, incomplete processes, or invalid actions. In other cases, the decisions are more nuanced, and we apply the term “artificial intelligence” to the software making the decision.

While many kinds of software applications make many automated decisions, a person is still — ultimately — responsible for those decisions being correct and consistent. This responsibility may be implemented as a person reviewing a periodic summary of decisions made.

This responsible stakeholder needs to understand the number and types of decisions being made by application software. They need to confirm the automated decisions reflect sound data as well...

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